Zephyr: First-person wireless analytics from high-density in-stadium deployments

2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)(2016)

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摘要
Zephyr is a first-person wireless-performance data-collection approach to study the end-user's perspective of the wireless-network's performance using an OTT video-streaming service used in 35 mobile applications and 25 sports stadiums. We use Zephyr to provide insights into user behavior and user disengagement from production traces gathered over 2+ years. We identify the different types of failures that we've observed, and describe how frequently they occur. Finally, we correlate low-level Wi-Fi performance data with application-level failures and describe the trends that we observe. The data from Zephyr reveals that 50% of users disengage if video playback does not begin within 12 seconds, and also if video playback stalls, instream, for more than 6 seconds. The most dominant failure type for video playback is cancellation during the initial buffering phase, which accounts for 30% of all streams.
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关键词
analysis,performance,data,analytics,large-scale,high-density,wireless,networks,video
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